Janine Schweier

Swiss Federal Institute for Forest, Snow and Landscape Research

Papers

Total Citations

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About

Janine Schweier is a leading researcher at the intersection of robotics and environmental science, specializing in forestry robotics, autonomous navigation, and 3D environmental perception. Her work addresses the critical challenge of automating forest monitoring and management through advanced robotic systems. Schweier’s major contributions include the development of novel methods for tree instance segmentation and trait estimation using LiDAR data collected by mobile robots, enabling precise, large-scale forest inventories without human intervention. She is the principal creator of the **Digiforests** dataset (2025), the first longitudinal LiDAR dataset specifically designed for forestry robotics, which has already garnered 9 citations and is poised to become a benchmark resource in the field. Her research demonstrates how robotics can transform forestry practices—from carbon stock assessment to biodiversity monitoring—by providing scalable, efficient, and sustainable solutions. With over 15 total citations across her most-cited works, Schweier is establishing herself as a key figure in applied robotics for environmental stewardship, bridging the gap between autonomous systems and ecological conservation.